Compare BigQuery vs AtScale

About BigQuery

BigQuery is a Google Cloud Platform tool - a database-as-a-service (DBaaS) maintaining the querying and rapid analysis of enterprise-level big data. This is one of the best parallel solutions for Google Analytics, able to store terabytes of data.

This cloud data warehouse service is a solution for not only Google Analytics data management, but also for any other data that users need to store and analyze. BigQuery does not require a server or a database administrator, it is low-cost, and makes data analytics productive.

The key parts of this solution are the fast SQL-based queries, capacity scaling, integration with more existing ETL tools, logical data warehousing, automatic backup, and more. The service is free for up to 1TB of data analyzed each month and 10GB of data stored.

About AtScale

AtScale is the leading provider of intelligent data virtualization for big data analytical workloads, empowering citizen data scientists to accelerate and scale their business’ data analytics and science capabilities and ultimately build insight-driven enterprises.

AtScale connects people to live disparate data without the need to move or extract it, leveraging existing investments in big data platforms, applications and tools. AtScale creates automated data engineering using a single set of semantics so consumers can query live data (either on premise or in the cloud) in seconds without having to understand how or where it is stored—providing security, governance and predictability in data usage and storage costs.

Features:

• Design Canvas: AtScale’s Design Canvas visually and intuitively connects to any data platform, allowing you to create virtual multidimensional cubes without ETL.
• Autonomous Data Engineering: Just-in-time query optimization that anticipates the needs of the data consumer.
• Universal Semantic Layer: A workspace with a Design Canvas for your data consumers to define business meaning and get a single-source-of-truth.
• Security & Data Governance: Centralized security policy to decentralize access using the tenants of Zero Trust.
• Virtual Cube Catalog: A gateway to data that is easily discoverable and frictionless—and available to use every day, en masse.

Benefits:

• No data movement: AtScale is agnostic to data platforms and data location, whether on-premises or in the cloud, in a data lake or a data warehouse.
• Automatic “smart” aggregate creation: AtSacle’s intelligent aggregates adapt to the data model and how it is used, automating the data engineering tasks required to support those activities and reducing time spent from weeks to hours.
• Use your existing BI and AI tools: AtScale provides access to live, atomic-level data without the user needing to understand where or how to access the data, so you can keep using your tools of choice.
• No more extracts or shadow IT: AtScale eliminates the need for extracts with a single, consistent, governed view of live data, regardless of which BI and AI tools are used.
• Data-as-a-service: AtScale allows metadata to be created once, with centrally defined business rules and calculations, exposing data assets as a service.
• Data platform portability: Models built in AtScale are portable, with no need to recreate them for different platforms. AtScale can easily be repointed to new data platforms, making migration seamless to business users.
• Faster time-to-insight: AtScale reduces time-to-insight from weeks and months to minutes and hours. AtScale virtual models can be created and deployed in no time, with no ETL or data engineering.
• Future-proof your data architecture: AtScale alleviates the complexities of data platform and analytics tool integration, making cloud, hybrid-cloud and multi-cloud data architectures a reality without compromising performance, security, agility or existing governance and security policies.

Features

• 2-Factor Authentication
• A/B Testing
• Analytics
• API
• Calendar Management
• Contact Management
• Dashboard
• Data Export
• Data Import
• Data Mining
• Data Visualization
• External Integrations
• Forecasting
• Keyword Tracking
• Multi-User
• Notifications
• Scheduling
• SEO

Features

• 2-Factor Authentication
• A/B Testing
• Analytics
• API
• Calendar Management
• Contact Management
• Dashboard
• Data Export
• Data Import
• Data Mining
• Data Visualization
• External Integrations
• Forecasting
• Keyword Tracking
• Multi-User
• Notifications
• Scheduling
• SEO

Summary

• Serverless

• Real-Time Analytics

• Automatic High Availability

• Standard SQL

• Federated Query and Logical Data Warehousing

• Storage & Compute Separation

• Automatic Backup & Easy Restore

• Data Transfer Service

• Big Data Ecosystem Integration

• Petabyte Scale

Summary

• No data movement: AtScale is agnostic to data platforms and data location, whether on-premises or in the cloud, in a data lake or a data warehouse.

• Use your existing BI and AI tools: AtScale provides access to live, atomic-level data without the user needing to understand where or how to access the data, so you can keep using your tools of choice.

• No more extracts or shadow IT: AtScale eliminates the need for extracts with a single, consistent, governed view of live data, regardless of which BI and AI tools are used.

• Faster time-to-insight: AtScale reduces time-to-insight from weeks and months to minutes and hours. AtScale virtual models can be created and deployed in no time, with no ETL or data engineering.

• Future-proof your data architecture: AtScale alleviates the complexities of data platform and analytics tool integration, making cloud, hybrid-cloud and multi-cloud data architectures a reality without compromising performance, security, agility or existing governance and security policies.

• Design CanvasTM: AtScale’s Design Canvas visually and intuitively connects to any data platform, allowing you to create virtual multidimensional cubes without ETL.

• Universal Semantic LayerTM: A workspace with a Design Canvas for your data consumers to define business meaning and get a single-source-of-truth.

• Autonomous Data Engineering: Just-in-time query optimization that anticipates the needs of the data consumer.

• Security & Data Governance: Centralized security policy to decentralize access using the tenants of Zero Trust.

Pricing

Pricing

FAQs

Does this service offer guides, tutorials and or customer support?

• Support: Knowledge Base, Tutorials, Training, Help Center, Email Support, Community.

What is this service generally used for?

• BigQuery is used as an enterprise analytics data warehouse.

Does this service integrate with any other apps?

• It integrates with Alooma, Blendo, Fivetran, Funnel, Atom Data, Informatica, Lytics, Matillion ETL, SAP, Segment, SnapLogic, Stitch, Striim, Switchboard, Skyvia, Talend, Treasure Data, Xplenty.

Who are the main user groups of this service?

• Main users of this service are data scientists and analysts in enterprises.

What are some applications this service is commonly used in tandem with?

• It is most commonly used in tandem with Google Analytics.

Does this service offer an API?

• Yes, it offers REST API.

What platforms does this service support?

• This is a web-based platform.

FAQs

What platforms does this service support?

• Any data platform, any BI tool.

What is this service generally used for?

• Single view of enterprise data with no data movement, self-service BI and analytics.

Does this service offer multi-user capability (e.g. teams)?

• Yes.

Who are the main user groups of this service?

• Information Technology, Business Intelligence, Data Science

Does this service offer guides, tutorials and or customer support?

• Customer support, technical guides.

Vendor Information

Vendor Information

Other

• SMEs
• Enterprises

• Web App

Other

• Enterprises